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d-Matrix

Delivers memory-integrated AI compute platforms

Business Planner - Systems and Racks

Full-TimeUpdated on 10/23/2026
No salary listed
Senior
Bachelor's, MBA
Santa Clara, CA, USA
Hybrid
Operations & LogisticsSupply Chain Management

About the job

Requirements
  • A bachelor's degree in Supply Chain, Business, Engineering, or a related field.
  • At least 5 years of experience in demand, supply, or material planning; experience in hardware, servers, or data centers is preferred.
  • Strong knowledge of sales and operations planning and integrated business planning, bill of materials structures, and contract manufacturer and original design manufacturer manufacturing flows.
  • Experience with alternate sourcing and material liability negotiation.
  • Proficiency with planning systems such as SAP Integrated Business Planning, Oracle, Kinaxis, o9, Anaplan, or equivalent, and advanced Excel skills.
Responsibilities
  • Design and scale the L10–L12 partner network for rack- and cluster-scale delivery, including sourcing, selection, and ongoing performance management of contract manufacturers, original design manufacturers, integrators, logistics providers, and deployment teams.
  • Drive partner and vendor contracts and lead the development and communication of supply-chain responsibility requirements in Statements of Work.
  • Serve as the primary point of contact for identifying, escalating, and resolving supply-chain risks across active vendor relationships.
  • Own the monthly demand forecast by SKU, configuration, and customer; lead sales and operations planning and improve forecast accuracy and bias.
  • Translate demand into executable build plans and rack integration schedules with manufacturing and contract manufacturers; balance supply, inventory turns, and revenue attainment.
  • Drive customer orders through fulfillment and commit ship dates based on build availability and component readiness.
  • Lead material management across contract manufacturers, original design manufacturers, and internal sites; resolve shortages and protect build commitments.
  • Drive alternate sourcing and approved vendor list / approved manufacturer list qualification with Commodity Management and Procurement to mitigate single-source and lead-time risk.
  • Negotiate contractual material liability terms based on lead times, including liability windows, flexibility, and forecast-to-purchase-order rules; quantify and report exposure monthly.
  • Conduct bill of materials risk analysis for new product introduction and sustaining products; drive mitigation plans for long-lead, single-source, end-of-life, and high-liability components.
  • Own planning for return merchandise authorization flows and field replacement programs; ensure field-replaceable unit availability and service-level agreement attainment with the service organization.
  • Manage new product introduction ramp planning, end-of-life transitions, and last-time buys to minimize excess and obsolete inventory and stranded inventory.
  • Serve as the single planning point of contact for Sales on commits, lead times, and fulfillment; align with Finance on revenue plans.
  • Publish weekly and monthly planning dashboards and present plans and risks to business-unit leadership.
Desired Qualifications
  • Experience with contract-to-order or build-to-order server or rack-scale planning, L10–L12 integration, and return merchandise authorization operations.
  • Experience with hyperscaler or artificial intelligence / machine learning infrastructure customer dynamics.
  • APICS Certified in Planning and Inventory Management or Certified Supply Chain Professional certification.
  • An MBA.

About the company

d-Matrix provides scalable, modular AI compute hardware and software for large datacenters, prioritizing energy efficiency and reduced data movement. Its core DIMC engine embeds compute directly into programmable memory, while a fabric of low-power chiplets delivers configurable compute resources and the accompanying software optimizes performance. This combination cuts data transfers and power use, aligning hardware design with memory-based computation for AI inference. The goal is to let large datacenters run AI workloads more efficiently at scale with customizable, modular compute platforms.

Company Size

201-500

Company Stage

Series C

Total Funding

$429M

Headquarters

Santa Clara, California

Founded

2019

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Simplify's Take

What believers are saying

  • Corsair entered full production on June 9, 2026, with priority-customer shipments starting.
  • September 10, 2026 NVIDIA partnership validates d-Matrix for rack-scale inference deployments.
  • Demo Cloud launched September 15, 2026, shortening enterprise evaluation cycles materially.

What critics are saying

  • Raptor remains pre-production until Q4 2027, leaving revenue dependent on Corsair.
  • d-Matrix still hides its custom DRAM foundry; volume failure kills Raptor economics.
  • NVIDIA can out-distribute d-Matrix inside MGX, compressing margins before 2027.

What makes d-Matrix unique

  • Corsair is shipping in volume since June 9, 2026, proving manufacturing execution.
  • d-Matrix’s DIMC architecture attacks inference data movement, not raw arithmetic throughput.
  • NVIDIA NVLink Fusion integration gives Raptor access to MGX racks and ecosystem.

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Benefits

  • Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
PR Newswire
Oct 12th, 2026
d-Matrix launches Squadron AI inference clusters scaling to 1,024 chips, air-cooled

d-Matrix has launched Squadron, a fleet of multi-rack systems that run AI models at data center scale. The company unveiled it on October 12, 2026, at the OCP Global Summit in San Jose. Squadron scales up to 16 SquadRacks, with up to 1,024 Corsair XPUs. It is air-cooled and built on industry standards, so customers can use existing data centers without liquid cooling. d-Matrix built it with Arista, Broadcom, and Supermicro. Squadron is shipping to priority customers. Corsair servers and SquadRacks are now generally available. Chief executive officer Sid Sheth said d-Matrix ran Attention-FFN Disaggregation on Squadron paired with GPU servers. The setup produced 845 tokens per second per user, and 20,415 tokens per second for 64 users.

The Information
Oct 8th, 2026
Nvidia to Invest in Chip Rival d-Matrix as Its Challengers Choose Partnership

Nvidia plans to invest in d-Matrix, a seven-year-old developer of server chips for AI that aims to compete with Nvidia, according to three people with knowledge of the deal. The planned investment is part of Nvidia’s effort to make its technology compatible with rival chip designers and bring ...

The Information
Oct 8th, 2026
Nvidia to Invest in Chip Rival d-Matrix as Its Challengers Choose Partnership

Nvidia to Invest in Chip Rival d-Matrix as Its Challengers Choose Partnership

PR Newswire
Oct 6th, 2026
d-Matrix's Corsair AI platform named to Fast Company's Next Big Things in Tech list

d-Matrix announced its Corsair AI data centre platform has been named to Fast Company's 2026 Next Big Things in Tech list. The platform is now shipping to priority customers. Corsair was recognised in the Foundational AI category for its memory-centric design, which brings compute directly into memory to eliminate data-movement bottlenecks. The approach aims to enable faster, more energy-efficient AI at scale. Fast Company's annual list recognises breakthrough technologies with potential to transform industries. This year's honourees span multiple industries, each demonstrating potential for significant impact. d-Matrix develops memory-centric compute chips, software, and rack-scale systems for data centres. The company works independently or alongside GPUs and other compute platforms to address cost, latency, and power limitations of traditional architectures.

d-Matrix
Oct 6th, 2026
d-Matrix recognized on Fast Company's Next Big Things in Tech list.

d-Matrix recognized on Fast Company's Next Big Things in Tech list. d-Matrix's Corsair Inference Platform, Now Shipping to Priority Customers, Named Foundational AI Technology on Annual List Honoring Groundbreaking Technologies SANTA CLARA, Calif., October 6, 2026 - d-Matrix, a leader in AI inference compute, today announced its Corsair(TM) AI data center platform has been named to Fast Company's Next Big Things in Tech, an annual list recognizing breakthrough technologies with the potential to transform industries and shape the future. Shipping to priority customers now, d-Matrix Corsair is recognized within the list's Foundational AI category for its memory-centric design that brings compute directly into memory - a breakthrough innovation that eliminates critical data-movement bottlenecks and enables faster, more energy-efficient AI at scale. "The speed and overall cost of running AI is tied directly to how efficiently data moves between memory and compute," said Sid Sheth, Founder and CEO of d-Matrix. "From day one we designed Corsair to solve this data movement bottleneck, knowing that memory-centric compute would be the answer. Recognition from Fast Company is a meaningful milestone for our team, coming at the same time customers are beginning to deploy Corsair at scale to make faster, more sustainable inference a reality." Fast Company's Next Big Things in Tech recognizes innovative technologies developed by established companies, startups, and research teams that are making meaningful progress toward transforming the lives of consumers, businesses, and society. This year's honorees span industries, with each innovation demonstrating the potential to create significant impact in the years ahead. "The most exciting technology innovations are the ones that move beyond promise to demonstrate real potential for impact," said Brendan Vaughan, editor-in-chief of Fast Company. "The companies and teams recognized on this year's list are tackling ambitious problems with new ideas, products, and approaches that have the potential to fundamentally shape the years ahead." About d-Matrix d-Matrix is a leader in AI inference compute, delivering memory-centric compute chips, software and rack-scale systems for data centers, making AI faster, more energy efficient, and more accessible. By bringing compute directly into memory, d-Matrix overcomes the cost, latency, and power limitations of traditional architectures - working independently or in partnership with GPUs and other compute platforms. Its multi-generation roadmap, from planar to 3D memory-compute substrates and rack-scale systems, is built to help hyperscalers, frontier labs, and AI clouds deploy advanced AI experiences at global scale. As demand for inference accelerates, d-Matrix is charting the path to infinite inference with no latency. For more information, visit www.d-matrix.ai. Media Contacts: Patrick Dorn d-Matrix Corporate Communications [email protected]